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Demand-side management for smart grid via diffusion adaptation

机译：通过扩散适应的智能电网需求侧管理

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摘要

This study presents a novel fully distributed and cooperative demand side management framework based on adaptive diffusion strategy. In this approach, each customer autonomously and without any need for the global information, minimises his incommodity function. The proposed framework has ability to track drifts resulting from the changes in the customer preferences and conditions or any rapidly changing price parameter coming from the wholesale market. In this scenario, the customers aim at maximising their individual utility functions; while the utility company aims at minimising the smart grid total payment (i.e. maximisation of the social welfare). The authors show that there is no need for the utility company to participate in the scheduling program for maximising social welfare. This measurement is maximised adaptively when the customers minimise their incommodity. Moreover, the authors provide a detailed analysis of the robustness of the proposed strategy in the presence of imperfect communication/computation conditions. Numerical results show that the proposed framework performs well, is scale free, and can achieve lower peak-to-average ratio of the total energy demand compared with that achieved by the game theoretical methods.
机译：本研究提出了一种基于自适应扩散策略的新型完全分布式和合作需求侧管理框架。在这种方法中，每个客户自主且不需要全局信息，最大限度地减少他的Incommodity函数。拟议的框架具有跟踪由客户偏好和条件的变化或来自批发市场的任何快速更改的价格参数产生的漂移。在这种情况下，客户旨在最大限度地提高他们的个人实用程序功能;虽然本实用公司旨在最大限度地减少智能电网全额付款（即社会福利的最大化）。作者表明，该公用事业公司不需要参加安排计划，以最大限度地提高社会福利。当客户最大限度地减少其Indomationity时，此测量最大限度地最大限度地最大限度地最大限度地最大限度地最大限度地最大限度地最大限度地最大限度地缩短。此外，作者提供了在存在不完美通信/计算条件的情况下提出策略的鲁棒性的详细分析。数值结果表明，所提出的框架表现良好，是无鳞片的，并且可以通过游戏理论方法实现的总能量需求达到较低的峰值平均比率。

著录项

  • 来源
    《IET Smart Grid》 |2020年第1期|69-82|共14页
  • 作者

    Milad Latifi; Azam Khalili; Amir Rastegarnia; Wael M. Bazzi; Saeid Sanei;

  • 作者单位

    Malayer University Department of Electrical Engineering Malayer 65719-95863 Iran;

    Malayer University Department of Electrical Engineering Malayer 65719-95863 Iran;

    Malayer University Department of Electrical Engineering Malayer 65719-95863 Iran;

    American University in Dubai Electrical and Computer Engineering Department Dubai United Arab Emirates;

    School of Science and Technology Nottingham Trent University Clifton Lane Nottingham UK;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    demand side management; game theory; optimisation; power markets; pricing; smart power grids;

    机译：需求方管理;博弈论;优化;电力市场;定价;智能电网;
  • 入库时间 2022-08-18 22:10:34

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